Multiobjective Optimization of Friction Stir Welding Process Parameters on Aluminum Alloy AA 5083 Using Taguchi-Based Grey Relation Analysis

This article presents the optimization of process parameters in friction stir welding (FSW) of Aluminum Alloy AA 5083 with multiple responses based on orthogonal array with grey relational analysis. The L9 orthogonal array of Taguchi experimental design is used for optimizing the FSW process parameters on tensile strength of FSW welds and total input power required for the process. The process parameters considered for optimization are the Rotational speed of the tool in rpm, transverse speed in mm/min, and the axial force in KN. The objective of this article is to find the optimum levels of the process parameters in which it yields maximum tensile strength and consumes minimum power. Based on the grey relational grade, optimum levels of parameters have been identified, and significant contribution of parameters is determined by ANOVA. The optimum levels of the process parameters are determined and validated by the confirmation run.